Data Scientist (w/m/d)

Posted 01 December 2022
Salary €60000 - €75000 per annum
LocationGermany
Job type Permanent
Discipline Data Science & Data Engineering
ReferenceBH-3271-1
Contact NameKai Wilton-Ali

Job description

-  Data scientist, mid to senior level, remote or hybrid (w/m/d) -

Are you a data engineer who loves taking on complex statistical analytics?
Do you want to Develop and utilise state of the art algorithms in ML & AI?
Do you want to bring to life the companies  ideas as their 'data expert'?

If so, read on!

What you'll do:

  • Data collection, data processing and data analysis.

  • Interpretation and visualization of data and their correlations

  • Taking ownership of analytics projects

  • Answering business questions by exploring and analyzing data from different sources

  • Prototyping models to validate hypotheses about business problems

  • Working in a team with product managers, backend and frontend engineers to promote data driven decisions

 

Who you are:
 

  • University degree in mathematics, informatics, statistics or a similar specialization, ideally with a focus on data science or machine learning

  • Good knowledge of programming in Python or R

  • Good knowledge in using statistical methods, understand of machine learning algorithms

  • You can communicate complex topics to non-technical audiences

  • Experience with SQL, AWS, Git, Documentation

  • Experience with ELT /ETL is a nice to have

 

What you'll work with:
 

  • Programming languages: Python, Java-Script

  • Data ingestion: Airflow

  • DevOps: AWS, Docker, Terraform, Gitlab



Your perks and benefits


  • 'Family-run' company with 30 years of market experience and a young management team.

  • Flexible and remote work possible within the EU (We also support applicants from outside of the EU in case they meet the job requirements and are willing to move to Berlin)

  • Interesting work in the real estate branch with an international ambitious team

  • Learning-friendly environment with flat hierarchies and further training opportunities

  • Company benefits for example various discounts (e. g. language apps, urban sports club, bike leasing…)